The Herschel Multi-tiered Extragalactic Survey (HerMES) The Evolution of the FIR/SMM Luminosity Function and of the Cosmic SFRD
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1 The Herschel Multi-tiered Extragalactic Survey (HerMES) The Evolution of the FIR/SMM Luminosity Function and of the Cosmic SFRD Lucia Marchetti University of Padova - Open University Mattia Vaccari - University of the Western Cape Alberto Franceschini, Giulia Rodighiero - University of Padova & the HerMES Consortium (Coordinated by Jamie Bock & Seb Oliver) ESO Surveys Workshop - October 15-18, 2012
2 Galaxy formation & evolution scenario Our crude present picture: the bulk of galaxy assembly occurred before z~1, and a significant fraction of it took place in obscured bursts of intense star formation and gravitational accretion 2
3 Resolving the background A full understanding of galaxy formation and evolution requires resolving the CIRB into its constituent sources and studying their properties at all wavelengths MIPS PACS SCUBA SPIRE COB CIRB Dole+ 06
4 Panchromatic view of galaxies Andromeda with Herschel (PACS) Most multi-wavelength features in a galaxy SED have been used to trace its SFR All require some sort of correction for dust obscuration and/or metallicity 4
5 From the LF to the Cosmic SF Rate the end of Spitzer cold mission MIPS 24 micron observations cannot accurately constrain the micron emission of high-z starbursts but we have got to rely on low-z SED models...herschel!! Rodighiero et al
6 Herschel/HerMES Science Motivation Herschel is an ESA cornerstone mission large (3.5 m) aperture, low emissivity (~5%), passively cooled (70-90 K) cryogenically cooled focal plane science instruments with >3 yr lifetime ( ) z=0 z=1 PACS PACS SPIRE SPIRE SPIRE z=4 Angular resolution Survey speed SOME open questions we want to address with Herschel - What is the history of Far-IR galaxies? - How do they assemble and evolve over time? - Where have luminous FIR systems gone today? - How do FIR galaxies relate to dark matter? - What is the role of dust in star formation? - What is the connection between dusty star formation and AGNs? Herschel Extragalactic Imaging Surveys - High-sensitivity (albeit with moderate resolution) - Use PACS & SPIRE at um - Observe the SED peak of IR galaxies at 1<z<4 - Derive IR Bolometric ( um) Luminosities - Detect Large and Uniform Samples of (U)LIRGs 6
7 7
8 Herschel Large High-z Surveys HerMES : Herschel Multi-tiered Extragalactic Survey PACS + SPIRE 70 sq deg from to 3.6º 3.6º (900 hours) + 12 clusters Bolometric luminosities of galaxies, cosmic SFH Wedding cake to probe range of luminosities and environments PEP : PACS Evolutionary Probe PACS only 2.7 sq deg from to (655 hours) + 10 clusters Resolve CFIRB; L FIR & SFRs H-ATLAS : Herschel-Astrophysical Terahertz Large Area Survey PACS + SPIRE 550 sq deg (600 hours) Large-scale structure, AGN, rare objects Expect ~500,000 detections to z~3, majority at 250 & 350 um H-GOODS : Herschel-Great Observatories Origins Deep Survey PACS very deep imaging of the GOODS Field (330 hours) SPIRE deep imaging of the GOODS-N Field (30 hours) GAMA 9-hr field 8
9 The Confusion Challenge 6.5' 7.5' GOODS-N - D. Elbaz 9
10 Mapping to the Confusion Limit 1 Repeat 0.7 h for 1 sq. deg 10
11 Mapping to the Confusion Limit 2 Repeats 1.5 h for 1 sq. deg 11
12 Mapping to the Confusion Limit 4 Repeats 3 h for 1 sq. deg 12
13 Mapping to the Confusion Limit 8 Repeats 6 h for 1 sq. deg 13
14 Mapping to the Confusion Limit 15 Repeats 11 h for 1 sq. deg 14
15 Mapping to the Confusion Limit 30 Repeats 22 h for 1 sq. deg 15
16 HerMES Survey Design Principles Wedding Cake Design Probe a wide range of the luminosity function Deep fields for sub-confusion studies Wide fields for rare objects and fluctuations Target Survey Fields With Best Ancillary Data Fields with Spitzer, Radio, UV, Optical, NIR, X-ray etc Do What Herschel Does Best SPIRE excels at large maps PACS best at small deep maps Collaborate with PEP for PACS data Use parallel mode where possible 16
17 HerMES : Wedding Cake Survey Clusters L L GOODS North GOODS South ECDFS SDP Release (2009,done!) DR1 Release (2012, done!) DR2 Release To Be Observed L Lockman North Lockman East EGS UDS L4 4 L5 30 COSMOS EGS UDS VVDS CDFS ELAIS-S1 Lockman Bootes ELAIS-N1 L6 40 FLS ELAIS- S1 ELAIS- N2 Akari SEP Bootes ELAIS- N1 XMM- LSS L7 270 HeLMS / SDSS Stripe 82 17
18 HerMES fields IRAS dust map Schlegel
19 A Data Fusion for HerMES science: The Spitzer Multi-Wavelength Data Fusion (Vaccari+ in prep.) S W I R E TOT : ~ 3 million of sources - COSMOS and other deep fields data fusion carried out in collaboration with other consortia - Aperture Matching currently based on heterogeneous flux measurements and SED fitting 2 min. - Image-based aperture matching and multi-band source extraction to be tested to enable optimal combination of (in particular) IRAC, VISTA and VST data in equatorial/southern fields - mrr s new redshift catalog (today s arxiv: v1 ) 19
20 SDP : Strong Luminosity Evolution HerMES IR Bolometric Local Luminosity Function Vaccari et al HerMES Rest-Frame 250 µm LF Eales et al < z < < z < < z < < z < < z < < z < 2.0 Local sub-mm galaxy LF slightly above models Luminosity function evolves out to z ~ 2 Is it flattening out at z > 1? Next : better statistics, SED models, LF estimators & selection functions 20
21 Conclusions Our Herschel observations have provided us with a first complete characterization of the spectral energy distributions for high- (and low-) redshift galaxies, including the previously unknown FIR and sub-mm portion of the spectrum, which is so critical for measuring the source bolometric emission. The data-fusion has been greatly exploited within HerMES & SERVS consortia and represents the best instrument to a panchromatic census of galaxy formation and evolution processes (e.g. for SED fitting, SFR estimates, colorcolor plots..). It will become publicly available and has been thought to be user friendly & VO compliant. 21
22 What s next What s? next? 3 X 3 VIDEO - Y/J/Ks in XMM3 Jarvis arxiv: X 15 22
23 ALMA : Targeted Surveys Below Herschel Confusion Limits (Karim+ arxiv: ) (completed in 2014) 23
Outline. Motivation SDP Data Preliminary science with Herschel only Preliminary science adding in other data Conclusion
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